...
首页> 外文期刊>Minerals Engineering >Identifying possible associations of minor and trace elements with major elements in Jamaican hillside and catchment bauxites using multivariate analysis tools
【24h】

Identifying possible associations of minor and trace elements with major elements in Jamaican hillside and catchment bauxites using multivariate analysis tools

机译:使用多元分析工具确定牙买加山坡和集水区铝土矿中微量元素和微量元素与主要元素的可能联系

获取原文
获取原文并翻译 | 示例

摘要

Over the past 50 years the quality of Jamaica's mined bauxites has gradually changed from gibbsite/ hematite dominated ores to ones that contain more boehmite and goethite and have higher concentrations of many minor and trace components. This presents evolving challenges to the Bayer process industry which must still meet the aluminum smelting industry's alumina quality requirements. The extraction of unwanted elements from bauxite into the caustic liquors depends on their host minerals but routine X-ray diffraction methods used by the industry are often unable to identify minerals for minor and trace elements and therefore do not give indications of potential Bayer liquor contamination by such elements. We sought to combine elemental concentrations and qualitative X-ray diffraction information with factor and cluster analyses to identify the probable associations of minor and trace elements with major elements and so predict their likely dissolution properties. Bauxites (178) were selected from catchment (32; gibbsite/hematite) and hillside (146; gibbsite/boehmite/goethite) deposits based on exploration data and reanalyzed using a variety of analytical techniques. The quality of the data was assessed and then the data were transformed to centered lognormal ratios to allow for their compositional nature. The elemental data used in the factor analyses were limited to Al, Fe, Ti, Si, Ca, P, V, Cr, Mn and Zn (plus Mg and Zr for the catchment bauxite set) because of missing data for some bauxites. For both bauxite types 80% of the variability was accounted for within three factors.
机译:在过去的50年中,牙买加开采的铝土矿的质量已逐渐从以菱铁矿/赤铁矿为主的矿石转变为含有更多的勃姆石和针铁矿以及较高浓度的许多次要和微量成分的矿石。这给拜耳加工行业提出了不断变化的挑战,这些挑战仍必须满足铝冶炼行业的氧化铝质量要求。从铝土矿到苛性溶液中提取有害元素取决于其主体矿物,但是工业上使用的常规X射线衍射方法通常无法识别微量和微量元素的矿物,因此无法提供潜在的拜耳溶液污染的迹象。这样的元素。我们试图将元素浓度和定性X射线衍射信息与因子和聚类分析相结合,以识别微量元素和微量元素与主要元素的可能关联,从而预测其可能的溶出特性。根据勘探数据,从集水区(32个;菱铁矿/赤铁矿)和山坡地(146个;菱铁矿/勃姆石/针铁矿)中选择铝土矿(178个),并使用多种分析技术对其进行重新分析。评估数据的质量,然后将数据转换为居中对数正态比,以考虑其组成性质。由于缺少某些铝土矿的数据,用于因子分析的元素数据仅限于Al,Fe,Ti,Si,Ca,P,V,Cr,Mn和Zn(对于集水铝土矿为Mg和Zr)。对于这两种铝土矿类型,80%的变异性都在三个因素内引起。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号